ODSC - Open Data Science

FEBRUARY 15, 2024

The Future of the Single Source of Truth is an Open Data Lake Organizations that strive for high-performance data systems are increasingly turning towards the ELT (Extract, Load, Transform) model using an open data lake.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 27, 2023

5 Data Engineering and Data Science Cloud Options for 2023 AI development is incredibly resource intensive. As such, here are a few data science cloud options to help you handle some work virtually. Here are a few things to keep an eye out for.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

MARCH 30, 2023

Video of the Week: Applying Engineering Best Practices in Data Lakes Architectures Join this talk to learn about the latest advancements in data engineering, GitHub, and data visualization, and how they can improve your data science career.

Azure 52

Azure ML ML Data Modeling 52

ODSC - Open Data Science

OCTOBER 3, 2024

Building an Effective OSS Management Layer for Your Data Lake Ahead of her ODSC West session on OSS management layers, the speaker discusses how data lakes can benefit from this system. Apply now for a chance to participate, and we’ll be in touch if space is available.

Data Science 40

Data Science Data Lakes Data Scientist AI 40

Alation

MARCH 29, 2021

With more data than ever before, the ability to find the right data has become harder than ever. Yet businesses need to find data to make data-driven decisions. However, data engineers, data scientists, data stewards, and chief data officers face the challenge of finding data easily.

Machine Learning 59

Machine Learning Machine Learning Data Lakes Hadoop 59

Pickl AI

SEPTEMBER 5, 2024

Storage Solutions: Secure and scalable storage options like Azure Blob Storage and Azure Data Lake Storage. Key features and benefits of Azure for Data Science include: Scalability: Easily scale resources up or down based on demand, ideal for handling large datasets and complex computations.

Azure 52

Azure Data Scientist Machine Learning Machine Learning 52

Alation

FEBRUARY 17, 2023

I suggest building out a RACI framework that assigns core activities across these key roles: (1) Data Owner; (2) Business Data Steward; (3) Technical (IT) Data Steward; (4) Enterprise Data Steward; (5) Data Engineer; and (6) Data Consumer. Communication is essential. Where do you govern?

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52